FP&A teams have played a critical role in organisations for a long time. However, traditional FP&A is no longer sufficient. Economic volatility, shifting demographics, emerging technologies, and data overload demand a more agile, insight-driven FP&A. This paper explores what makes modern FP&A teams effective, outlines four essential layers to meet today’s business needs and provides practical steps to implement them.

AI-powered anomaly detection reduces manual workload, enhances financial reporting accuracy, and streamlines financial close processes.

This article will explore the challenges faced by finance departments today regarding deviations and anomaly detection, particularly during the financial close processes. 

Discover how AI agents revolutionise FP&A by enhancing decision-making, streamlining workflows and enabling professionals to focus on strategic insights and creativity.

The article explores how data-driven FP&A transforms organisations by integrating financial and non-financial metrics to drive strategic decision-making and measurable outcomes.

This paper explores how FP&A teams can lead in an unpredictable era, drawing on insights from 260+ International FP&A Board meetings across 19 countries, 30+ research papers, and input from over 50,000 senior practitioners worldwide. We identified the top 5 trends that will shape FP&A in 2025 and beyond, therefore offering a roadmap for finance teams to become agile, data-driven partners capable of navigating complexity with confidence.